IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Coordination Dynamics under Collective and Random Fining Systems for Controlling Non-Point Source Pollution: A Simulation Approach with Genetic Algorithms

Listed author(s):
  • Eleni Samanidou
Registered author(s):

    The paper considers the application of Genetic Algorithms (GA) on coordination games with non-point pollution controlling systems including collective and random fines. During the GA simulations populations continually switch between the two symmetric Nash equilibria of the game. Coordination of GA populations on the socially optimal (payoff dominant) abatement equilibrium is observable even for large group sizes, if the fine is chosen high enough compared to the abatement cost savings in the zero-abatement (risk dominant) equilibrium. The time, which populations spend in the socially optimal equilibrium, declines strongly with increasing group size. The outcome of the random fining mechanism depends crucially on the underlying risk attitude. Purely risk averse populations tend to coordinate on the socially optimal equilibrium. Further, we examine whether the findings of the GA application can explain some main results from a series of related experiments, which are currently conducted by the Laboratory of Experimental Economics at the University of Ki

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2004 with number 267.

    in new window

    Date of creation: 11 Aug 2004
    Handle: RePEc:sce:scecf4:267
    Contact details of provider: Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:sce:scecf4:267. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.